##
## Call:
## lm(formula = missed_percent ~ MeanErrorSquard + window + quant +
## FlagType, data = .)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.015953 -0.003097 0.000634 0.003445 0.014235
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.637e-02 1.800e-02 0.910 0.36921
## MeanErrorSquard 1.711e-03 5.155e-04 3.319 0.00212 **
## window -1.430e-04 7.813e-05 -1.831 0.07567 .
## quant -1.754e-02 1.038e-02 -1.689 0.10006
## FlagTypeflag.ntile.Pval 2.139e-03 2.175e-03 0.983 0.33213
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.006075 on 35 degrees of freedom
## Multiple R-squared: 0.8401, Adjusted R-squared: 0.8218
## F-statistic: 45.96 on 4 and 35 DF, p-value: 1.84e-13
##
## Call:
## lm(formula = missed_percent ~ window + quant + FlagType + sampleRate +
## pop, data = .)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.055479 -0.014843 -0.001901 0.010442 0.160906
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.950e-02 8.753e-03 7.941 5.86e-14 ***
## window -2.584e-04 4.945e-05 -5.225 3.55e-07 ***
## quant -3.926e-02 1.026e-02 -3.825 0.000163 ***
## FlagTypeflag.ntile.Pval -2.809e-03 2.868e-03 -0.979 0.328277
## sampleRate 1.310e-02 1.205e-03 10.876 < 2e-16 ***
## pop -1.353e-02 1.923e-03 -7.036 1.72e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.02351 on 263 degrees of freedom
## Multiple R-squared: 0.3758, Adjusted R-squared: 0.3639
## F-statistic: 31.66 on 5 and 263 DF, p-value: < 2.2e-16